#### Approach #1: Brute Force [Time Limit Exceeded]

Intuition and Algorithm

For each index i in the given string, let's remove that character, then check if the resulting string is a palindrome. If it is, (or if the original string was a palindrome), then we'll return true

Complexity Analysis

• Time Complexity: where is the length of the string. We do the following times: create a string of length and iterate over it.

• Space Complexity: , the space used by our candidate answer.

#### Approach #2: Greedy [Accepted]

Intuition

If the beginning and end characters of a string are the same (ie. s[0] == s[s.length - 1]), then whether the inner characters are a palindrome (s[1], s[2], ..., s[s.length - 2]) uniquely determines whether the entire string is a palindrome.

Algorithm

Suppose we want to know whether s[i], s[i+1], ..., s[j] form a palindrome. If i >= j then we are done. If s[i] == s[j] then we may take i++; j--. Otherwise, the palindrome must be either s[i+1], s[i+2], ..., s[j] or s[i], s[i+1], ..., s[j-1], and we should check both cases.

Complexity Analysis

• Time Complexity: where is the length of the string. Each of two checks of whether some substring is a palindrome is .

• Space Complexity: additional complexity. Only pointers were stored in memory.

Analysis written by: @awice